Course Overview
This intensive one-day course teaches developers how to effectively integrate AI tools into their coding workflow. You’ll learn to use GitHub Copilot, ChatGPT, and other AI assistants to accelerate development while maintaining code quality, security, and best practices. Perfect for developers looking to boost productivity and stay current with AI-enhanced development techniques.
Through hands-on coding sessions, you’ll experience the practical benefits and limitations of AI coding assistants. The course emphasizes real-world application, teaching you when and how to leverage AI effectively while avoiding common pitfalls. You’ll practice prompt engineering, context management, code review techniques, and learn to maintain a balance between AI assistance and human expertise in software development.
Learning Objectives
- Master GitHub Copilot, Claude Code, and other AI code generation tools
- Write effective prompts for development tasks
- Use AI for debugging and code refactoring
- Ensure security and quality in AI-generated code
- Generate tests and documentation with AI assistance
- Optimize development workflow with AI tools
- Balance AI assistance with human expertise
Topics Covered
- AI Coding Tools - GitHub Copilot, ChatGPT, and alternatives
- Prompt Engineering - Writing effective development prompts
- Context Management - Deciding what to give the AI so it makes good decisions
- Code Generation - Maximizing productivity safely
- Debugging & Refactoring - AI-assisted code improvement
- Security & Quality - Reviewing AI-generated code
- Testing & Documentation - Automated generation techniques
- Best Practices - Integrating AI into development workflow
What You Get
- Practical prompt templates for development tasks
- Hands-on exercises with AI coding assistants
- Strategies for effective code review of AI-generated code
- Testing and documentation workflow examples
- Best practices for secure AI tool integration
- Real-world case studies and examples
- Certificate of completion